SignLanguageRecognition

Israeli Sign Language Letters Recognition using a Convolutional Neural Network (CNN) implemented in Keras + TensorFlow + OpenCV. This project is part of the requirements for the Final Project in B.Sc. Software Engineering.

Theory Book Link

Israeli Sign Language Letters

Delete & Space signs were added for simplicity.

Requirements

Python 3.6.8
tensorflow 1.13.1 (or tensorflow-gpu 1.13.1)
Keras==2.2.4
opencv-python==4.1.0.25
seaborn
sklearn
imutils
Pillow
numpy
matplotlib

After downloading the repo, you will need to setup database and the model:

1. setup database
2. setup model

Demo

Compiling

1. Create exe file by running from cmd: pyinstaller --noconsole --onefile gui.py This will create gui.exe inside dist folder.

2. Run SetupScript.iss script file which will pack resources and models under single exe setup in Releases folder. (InnoSetup must be installed).

Installation setup could be downloaded from the following OneDrive Link

Credits

The Image preprocessing, OpenCV and CNN integration are based on Dr. Jared Vasquez's CNN-HowManyFingers project. The CNN architecture used in this project is based on Hemalatha Vakade's CNN-for-Image-Classification project.

Authors

• Netanel Azoulay
• Roman Koifman